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Calibrated AdaMEC 1.0

by nnikolaou - April 8, 2017, 13:57:45 CET [ ] 12580 views, 1858 downloads, 0 subscriptions

About: Code for Calibrated AdaMEC for binary cost-sensitive classification. The method is just AdaBoost that properly calibrates its probability estimates and uses a cost-sensitive (i.e. risk-minimizing) decision threshold to classify new data.

Changes:

Updated license information

Authors: Nikolaos Nikolaou, Gavin Brown
License: Bsd, Bsd 3 Clause License
Programming Language: Python

Operating System: Platform Independent, Platform Agnostic
Data Formats: Binary
Tags: Ensembles, Adaboost, Boosting, Ensemble Of Classifiers, Ensemble Methods, Ensemble Learning, Ensemble Model, Calibration, Class Imbalance, Cost Sensitive, Minimum Expected Cost, Risk Minimization

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Calibrated AdaMEC 1.0